It's not just about making AI smarter, but also about making sure people can trust it and understand how it works.

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

Just as with LLMs, success in other frontiers of AI will require access to large volumes of high-quality data. That will ...

Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations ...

M Science, a leading provider of data-driven investment research and analytics, today announced the launch of its Unified Data Model and Model Context Protocol (MCP) Server, creating a modern data and ...

Data models are used to represent real-world entities, but they often have limitations. Avoid these common data modeling mistakes to keep data integrity. Data modeling is the process through which we ...

Back in the 1970s, the ANSI SPARC three-tiered model arose, foreshadowing a smooth intertwining of data and architectural design. The three tiers concept isolated the physical storage needs of data ...

An enterprise conceptual data model is often seen as a high mountain to be climbed, a journey that will last a lifetime. People have visions of 10 feet or more of wall in the corporate offices ...

Once, the world’s richest men competed over yachts, jets and private islands. Now, the size-measuring contest of choice is clusters. Just 18 months ago, OpenAI trained GPT-4, its then state-of-the-art ...